阿里druid 连接池监控数据自定义存储
2017-04-27 17:33
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如何将druid连接池监控到的sql执行效率，连接池资源情况等进行持久化存储，方便系统运维分析优化，以下案例初步测试成功。
第一部：
新建MyDruidStatLogger类实现接口 extends DruidDataSourceStatLoggerAdapter implements DruidDataSourceStatLogger,详细代码如下：本实例只实现接收消息并在控制台打印，实际业务应用需要具体实现存储方案。
<bean id="myStatLogger" class="com.andaily.web.context.MyDruidStatLogger"> </bean>
<bean id="dataSource" class="com.alibaba.druid.pool.DruidDataSource" init-method="init" destroy-method="close">
<!-- 基本属性 url、user、password -->
<property name="url" value="${jdbc.url}" />
<property name="username" value="${jdbc.username}" />
<property name="password" value="${jdbc.password}" />
<!-- 配置初始化大小、最小、最大 -->
<property name="initialSize" value="1" />
<property name="minIdle" value="1" />
<property name="maxActive" value="20" />
<!-- 配置获取连接等待超时的时间 -->
<property name="maxWait" value="60000" />
<!-- 配置间隔多久才进行一次检测，检测需要关闭的空闲连接，单位是毫秒 -->
<property name="timeBetweenEvictionRunsMillis" value="60000" />
<!-- 配置一个连接在池中最小生存的时间，单位是毫秒 -->
<property name="minEvictableIdleTimeMillis" value="300000" />
<property name="validationQuery" value="SELECT 'x'" />
<property name="testWhileIdle" value="true" />
<property name="testOnBorrow" value="false" />
<property name="testOnReturn" value="false" />
<!-- 打开PSCache，并且指定每个连接上PSCache的大小 -->
<property name="poolPreparedStatements" value="true" />
<property name="maxPoolPreparedStatementPerConnectionSize" value="20" />
<!-- 配置监控统计拦截的filters，去掉后监控界面sql无法统计 -->
<property name="filters" value="stat" />
<property name="timeBetweenLogStatsMillis" value="1000" />
<property name="statLogger" ref="myStatLogger"/>
</bean>
启动后就可以看到控制台打印的durid监控信息了。
第一部：
新建MyDruidStatLogger类实现接口 extends DruidDataSourceStatLoggerAdapter implements DruidDataSourceStatLogger,详细代码如下：本实例只实现接收消息并在控制台打印，实际业务应用需要具体实现存储方案。
package xxx;
import com.alibaba.druid.support.logging.Log;
import com.alibaba.druid.support.logging.LogFactory;
import java.util.ArrayList;
import java.util.LinkedHashMap;
import java.util.Map;
import java.util.Properties;
import static com.alibaba.druid.util.JdbcSqlStatUtils.rtrim;
import com.alibaba.druid.pool.DruidDataSourceStatLogger;
import com.alibaba.druid.pool.DruidDataSourceStatLoggerAdapter;
import com.alibaba.druid.pool.DruidDataSourceStatValue;
import com.alibaba.druid.stat.JdbcSqlStatValue;
import com.alibaba.druid.support.json.JSONUtils;
public class MyDruidStatLogger extends DruidDataSourceStatLoggerAdapter implements DruidDataSourceStatLogger {
private static Log LOG = LogFactory.getLog(MyDruidStatLogger.class);
private Log logger = LOG;
public MyDruidStatLogger(){
this.configFromProperties(System.getProperties());
}
@Override
public void configFromProperties(Properties properties) {
String property = properties.getProperty("druid.stat.loggerName");
if (property != null && property.length() > 0) {
setLoggerName(property);
}
}
public Log getLogger() {
return logger;
}
@Override
public void setLoggerName(String loggerName) {
logger = LogFactory.getLog(loggerName);
}
@Override
public void setLogger(Log logger) {
if (logger == null) {
throw new IllegalArgumentException("logger can not be null");
}
this.logger = logger;
}
public boolean isLogEnable() {
return true;
}
public void log(String value) {
logger.info(value);
}
@Override
public void log(DruidDataSourceStatValue statValue) {
Map<String, Object> map = new LinkedHashMap<String, Object>();
map.put("url", statValue.getUrl());
map.put("dbType", statValue.getDbType());
map.put("name", statValue.getName());
map.put("activeCount", statValue.getActiveCount());
if (statValue.getActivePeak() > 0) {
map.put("activePeak", statValue.getActivePeak());
map.put("activePeakTime", statValue.getActivePeakTime());
}
map.put("poolingCount", statValue.getPoolingCount());
if (statValue.getPoolingPeak() > 0) {
map.put("poolingPeak", statValue.getPoolingPeak());
map.put("poolingPeakTime", statValue.getPoolingPeakTime());
}
map.put("connectCount", statValue.getConnectCount());
map.put("closeCount", statValue.getCloseCount());
if (statValue.getWaitThreadCount() > 0) {
map.put("waitThreadCount", statValue.getWaitThreadCount());
}
if (statValue.getNotEmptyWaitCount() > 0) {
map.put("notEmptyWaitCount", statValue.getNotEmptyWaitCount());
}
if (statValue.getNotEmptyWaitMillis() > 0) {
map.put("notEmptyWaitMillis", statValue.getNotEmptyWaitMillis());
}
if (statValue.getLogicConnectErrorCount() > 0) {
map.put("logicConnectErrorCount", statValue.getLogicConnectErrorCount());
}
if (statValue.getPhysicalConnectCount() > 0) {
map.put("physicalConnectCount", statValue.getPhysicalConnectCount());
}
if (statValue.getPhysicalCloseCount() > 0) {
map.put("physicalCloseCount", statValue.getPhysicalCloseCount());
}
if (statValue.getPhysicalConnectErrorCount() > 0) {
map.put("physicalConnectErrorCount", statValue.getPhysicalConnectErrorCount());
}
if (statValue.getExecuteCount() > 0) {
map.put("executeCount", statValue.getExecuteCount());
}
if (statValue.getErrorCount() > 0) {
map.put("errorCount", statValue.getErrorCount());
}
if (statValue.getCommitCount() > 0) {
map.put("commitCount", statValue.getCommitCount());
}
if (statValue.getRollbackCount() > 0) {
map.put("rollbackCount", statValue.getRollbackCount());
}
if (statValue.getPstmtCacheHitCount() > 0) {
map.put("pstmtCacheHitCount", statValue.getPstmtCacheHitCount());
}
if (statValue.getPstmtCacheMissCount() > 0) {
map.put("pstmtCacheMissCount", statValue.getPstmtCacheMissCount());
}
if (statValue.getStartTransactionCount() > 0) {
map.put("startTransactionCount", statValue.getStartTransactionCount());
map.put("transactionHistogram", rtrim(statValue.getTransactionHistogram()));
}
if (statValue.getConnectCount() > 0) {
map.put("connectionHoldTimeHistogram", rtrim(statValue.getConnectionHoldTimeHistogram()));
}
if (statValue.getClobOpenCount() > 0) {
map.put("clobOpenCount", statValue.getClobOpenCount());
}
if (statValue.getBlobOpenCount() > 0) {
map.put("blobOpenCount", statValue.getBlobOpenCount());
}
if (statValue.getSqlSkipCount() > 0) {
map.put("sqlSkipCount", statValue.getSqlSkipCount());
}
ArrayList<Map<String, Object>> sqlList = new ArrayList<Map<String, Object>>();
if (statValue.getSqlList().size() > 0) {
for (JdbcSqlStatValue sqlStat : statValue.getSqlList()) {
Map<String, Object> sqlStatMap = new LinkedHashMap<String, Object>();
sqlStatMap.put("sql", sqlStat.getSql());
if (sqlStat.getExecuteCount() > 0) {
sqlStatMap.put("executeCount", sqlStat.getExecuteCount());
sqlStatMap.put("executeMillisMax", sqlStat.getExecuteMillisMax());
sqlStatMap.put("executeMillisTotal", sqlStat.getExecuteMillisTotal());
sqlStatMap.put("executeHistogram", rtrim(sqlStat.getExecuteHistogram()));
sqlStatMap.put("executeAndResultHoldHistogram", rtrim(sqlStat.getExecuteAndResultHoldHistogram()));
}
long executeErrorCount = sqlStat.getExecuteErrorCount();
if (executeErrorCount > 0) {
sqlStatMap.put("executeErrorCount", executeErrorCount);
}
int runningCount = sqlStat.getRunningCount();
if (runningCount > 0) {
sqlStatMap.put("runningCount", runningCount);
}
int concurrentMax = sqlStat.getConcurrentMax();
if (concurrentMax > 0) {
sqlStatMap.put("concurrentMax", concurrentMax);
}
if (sqlStat.getFetchRowCount() > 0) {
sqlStatMap.put("fetchRowCount", sqlStat.getFetchRowCount());
sqlStatMap.put("fetchRowCount", sqlStat.getFetchRowCountMax());
sqlStatMap.put("fetchRowHistogram", rtrim(sqlStat.getFetchRowHistogram()));
}
if (sqlStat.getUpdateCount() > 0) {
sqlStatMap.put("updateCount", sqlStat.getUpdateCount());
sqlStatMap.put("updateCountMax", sqlStat.getUpdateCountMax());
sqlStatMap.put("updateHistogram", rtrim(sqlStat.getUpdateHistogram()));
}
if (sqlStat.getInTransactionCount() > 0) {
sqlStatMap.put("inTransactionCount", sqlStat.getInTransactionCount());
}
if (sqlStat.getClobOpenCount() > 0) {
sqlStatMap.put("clobOpenCount", sqlStat.getClobOpenCount());
}
if (sqlStat.getBlobOpenCount() > 0) {
sqlStatMap.put("blobOpenCount", sqlStat.getBlobOpenCount());
}
sqlList.add(sqlStatMap);
}
map.put("sqlList", sqlList);
}
if (statValue.getKeepAliveCheckCount() > 0) {
map.put("keepAliveCheckCount", statValue.getKeepAliveCheckCount());
}
String text = JSONUtils.toJSONString(map);
System.out.println("==============:"+text);
}
}第二步i第二步：配置spring bean<bean id="myStatLogger" class="com.andaily.web.context.MyDruidStatLogger"> </bean>
<bean id="dataSource" class="com.alibaba.druid.pool.DruidDataSource" init-method="init" destroy-method="close">
<!-- 基本属性 url、user、password -->
<property name="url" value="${jdbc.url}" />
<property name="username" value="${jdbc.username}" />
<property name="password" value="${jdbc.password}" />
<!-- 配置初始化大小、最小、最大 -->
<property name="initialSize" value="1" />
<property name="minIdle" value="1" />
<property name="maxActive" value="20" />
<!-- 配置获取连接等待超时的时间 -->
<property name="maxWait" value="60000" />
<!-- 配置间隔多久才进行一次检测，检测需要关闭的空闲连接，单位是毫秒 -->
<property name="timeBetweenEvictionRunsMillis" value="60000" />
<!-- 配置一个连接在池中最小生存的时间，单位是毫秒 -->
<property name="minEvictableIdleTimeMillis" value="300000" />
<property name="validationQuery" value="SELECT 'x'" />
<property name="testWhileIdle" value="true" />
<property name="testOnBorrow" value="false" />
<property name="testOnReturn" value="false" />
<!-- 打开PSCache，并且指定每个连接上PSCache的大小 -->
<property name="poolPreparedStatements" value="true" />
<property name="maxPoolPreparedStatementPerConnectionSize" value="20" />
<!-- 配置监控统计拦截的filters，去掉后监控界面sql无法统计 -->
<property name="filters" value="stat" />
<property name="timeBetweenLogStatsMillis" value="1000" />
<property name="statLogger" ref="myStatLogger"/>
</bean>
启动后就可以看到控制台打印的durid监控信息了。
package com.andaily.web.context;
import com.alibaba.druid.support.logging.Log;
import com.alibaba.druid.support.logging.LogFactory;
import java.util.ArrayList;
import java.util.LinkedHashMap;
import java.util.Map;
import java.util.Properties;
import static com.alibaba.druid.util.JdbcSqlStatUtils.rtrim;
import com.alibaba.druid.pool.DruidDataSourceStatLogger;
import com.alibaba.druid.pool.DruidDataSourceStatLoggerAdapter;
import com.alibaba.druid.pool.DruidDataSourceStatValue;
import com.alibaba.druid.stat.JdbcSqlStatValue;
import com.alibaba.druid.support.json.JSONUtils;
public class MyDruidStatLogger extends DruidDataSourceStatLoggerAdapter implements DruidDataSourceStatLogger {
private static Log LOG = LogFactory.getLog(MyDruidStatLogger.class);
private Log logger = LOG;
public MyDruidStatLogger(){
this.configFromProperties(System.getProperties());
}
@Override
public void configFromProperties(Properties properties) {
String property = properties.getProperty("druid.stat.loggerName");
if (property != null && property.length() > 0) {
setLoggerName(property);
}
}
public Log getLogger() {
return logger;
}
@Override
public void setLoggerName(String loggerName) {
logger = LogFactory.getLog(loggerName);
}
@Override
public void setLogger(Log logger) {
if (logger == null) {
throw new IllegalArgumentException("logger can not be null");
}
this.logger = logger;
}
public boolean isLogEnable() {
return true;
}
public void log(String value) {
logger.info(value);
}
@Override
public void log(DruidDataSourceStatValue statValue) {
Map map = new LinkedHashMap();
map.put("url", statValue.getUrl());
map.put("dbType", statValue.getDbType());
map.put("name", statValue.getName());
map.put("activeCount", statValue.getActiveCount());
if (statValue.getActivePeak() > 0) {
map.put("activePeak", statValue.getActivePeak());
map.put("activePeakTime", statValue.getActivePeakTime());
}
map.put("poolingCount", statValue.getPoolingCount());
if (statValue.getPoolingPeak() > 0) {
map.put("poolingPeak", statValue.getPoolingPeak());
map.put("poolingPeakTime", statValue.getPoolingPeakTime());
}
map.put("connectCount", statValue.getConnectCount());
map.put("closeCount", statValue.getCloseCount());
if (statValue.getWaitThreadCount() > 0) {
map.put("waitThreadCount", statValue.getWaitThreadCount());
}
if (statValue.getNotEmptyWaitCount() > 0) {
map.put("notEmptyWaitCount", statValue.getNotEmptyWaitCount());
}
if (statValue.getNotEmptyWaitMillis() > 0) {
map.put("notEmptyWaitMillis", statValue.getNotEmptyWaitMillis());
}
if (statValue.getLogicConnectErrorCount() > 0) {
map.put("logicConnectErrorCount", statValue.getLogicConnectErrorCount());
}
if (statValue.getPhysicalConnectCount() > 0) {
map.put("physicalConnectCount", statValue.getPhysicalConnectCount());
}
if (statValue.getPhysicalCloseCount() > 0) {
map.put("physicalCloseCount", statValue.getPhysicalCloseCount());
}
if (statValue.getPhysicalConnectErrorCount() > 0) {
map.put("physicalConnectErrorCount", statValue.getPhysicalConnectErrorCount());
}
if (statValue.getExecuteCount() > 0) {
map.put("executeCount", statValue.getExecuteCount());
}
if (statValue.getErrorCount() > 0) {
map.put("errorCount", statValue.getErrorCount());
}
if (statValue.getCommitCount() > 0) {
map.put("commitCount", statValue.getCommitCount());
}
if (statValue.getRollbackCount() > 0) {
map.put("rollbackCount", statValue.getRollbackCount());
}
if (statValue.getPstmtCacheHitCount() > 0) {
map.put("pstmtCacheHitCount", statValue.getPstmtCacheHitCount());
}
if (statValue.getPstmtCacheMissCount() > 0) {
map.put("pstmtCacheMissCount", statValue.getPstmtCacheMissCount());
}
if (statValue.getStartTransactionCount() > 0) {
map.put("startTransactionCount", statValue.getStartTransactionCount());
map.put("transactionHistogram", rtrim(statValue.getTransactionHistogram()));
}
if (statValue.getConnectCount() > 0) {
map.put("connectionHoldTimeHistogram", rtrim(statValue.getConnectionHoldTimeHistogram()));
}
if (statValue.getClobOpenCount() > 0) {
map.put("clobOpenCount", statValue.getClobOpenCount());
}
if (statValue.getBlobOpenCount() > 0) {
map.put("blobOpenCount", statValue.getBlobOpenCount());
}
if (statValue.getSqlSkipCount() > 0) {
map.put("sqlSkipCount", statValue.getSqlSkipCount());
}
ArrayList sqlList = new ArrayList();
if (statValue.getSqlList().size() > 0) {
for (JdbcSqlStatValue sqlStat : statValue.getSqlList()) {
Map sqlStatMap = new LinkedHashMap();
sqlStatMap.put("sql", sqlStat.getSql());
if (sqlStat.getExecuteCount() > 0) {
sqlStatMap.put("executeCount", sqlStat.getExecuteCount());
sqlStatMap.put("executeMillisMax", sqlStat.getExecuteMillisMax());
sqlStatMap.put("executeMillisTotal", sqlStat.getExecuteMillisTotal());
sqlStatMap.put("executeHistogram", rtrim(sqlStat.getExecuteHistogram()));
sqlStatMap.put("executeAndResultHoldHistogram", rtrim(sqlStat.getExecuteAndResultHoldHistogram()));
}
long executeErrorCount = sqlStat.getExecuteErrorCount();
if (executeErrorCount > 0) {
sqlStatMap.put("executeErrorCount", executeErrorCount);
}
int runningCount = sqlStat.getRunningCount();
if (runningCount > 0) {
sqlStatMap.put("runningCount", runningCount);
}
int concurrentMax = sqlStat.getConcurrentMax();
if (concurrentMax > 0) {
sqlStatMap.put("concurrentMax", concurrentMax);
}
if (sqlStat.getFetchRowCount() > 0) {
sqlStatMap.put("fetchRowCount", sqlStat.getFetchRowCount());
sqlStatMap.put("fetchRowCount", sqlStat.getFetchRowCountMax());
sqlStatMap.put("fetchRowHistogram", rtrim(sqlStat.getFetchRowHistogram()));
}
if (sqlStat.getUpdateCount() > 0) {
sqlStatMap.put("updateCount", sqlStat.getUpdateCount());
sqlStatMap.put("updateCountMax", sqlStat.getUpdateCountMax());
sqlStatMap.put("updateHistogram", rtrim(sqlStat.getUpdateHistogram()));
}
if (sqlStat.getInTransactionCount() > 0) {
sqlStatMap.put("inTransactionCount", sqlStat.getInTransactionCount());
}
if (sqlStat.getClobOpenCount() > 0) {
sqlStatMap.put("clobOpenCount", sqlStat.getClobOpenCount());
}
if (sqlStat.getBlobOpenCount() > 0) {
sqlStatMap.put("blobOpenCount", sqlStat.getBlobOpenCount());
}
sqlList.add(sqlStatMap);
}
map.put("sqlList", sqlList);
}
if (statValue.getKeepAliveCheckCount() > 0) {
map.put("keepAliveCheckCount", statValue.getKeepAliveCheckCount());
}
String text = JSONUtils.toJSONString(map);
System.out.println("==============:"+text);
}
}
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